Parameter Settings for New Generational Genetic Algorithms for Solving Global Optimization Problems

Autor: Siew Mooi Lim, Abu Bakar Sultan, Md. Nasir Sulaiman, Norwati Mustapha
Rok vydání: 2015
Předmět:
Zdroj: Journal of Computer Science. 11:1025-1031
ISSN: 1549-3636
Popis: This study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; they are Laplace Crossover-Scale Truncated Pareto Mutation (LX-STPM) and Rayleigh Crossover-Scale Truncated Pareto Mutation (RX-STPM). It concluded that GA parameter settings are algorithms and problems dependent.
Databáze: OpenAIRE